✦ Luna Orbit — Data & Analytics

Business Development Representative

at Intercom

📍 San Francisco, California Onsite Posted March 12, 2026
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Position Details

Type Full-Time
Experience mid
Exp. Years 3+ years
Education Not specified
Category Data & Analytics

About this role

This role involves developing and maintaining large-scale data infrastructure, building data pipelines, and supporting analytics and AI initiatives within Intercom.

Key Responsibilities

  • Design and build data pipelines
  • Collaborate with data teams
  • Develop automation tools
  • Monitor data infrastructure
  • Support data-driven projects

Technical Overview

Focuses on data pipeline development, cloud data platforms, and data quality monitoring using Python, SQL, Airflow, Snowflake, and AWS.

Ideal Candidate

The ideal candidate is a mid-level data engineer with at least 3 years of experience designing and maintaining large-scale data pipelines. They are proficient in Python, SQL, and cloud data tools, and are passionate about building reliable data infrastructure.

Must-Have Skills

3+ years of experience in data engineeringExperience building and running data pipelinesHands-on experience with Python and SQLExperience with cloud providers like AWSKnowledge of data platform tools like AirflowSnowflake

Nice-to-Have Skills

Experience with large-scale data infrastructureExperience with data quality monitoringExperience with containerized environments

Tools & Platforms

AirflowPlanetScaleKinesisSnowflakeTableauAWS

Required Skills

PythonSQLData PipelinesAirflowKinesisSnowflakeTableauAWSData Engineering

Hard Skills

PythonSQLData PipelinesAirflowKinesisSnowflakeTableauAWSCloud PlatformsData Engineering

Soft Skills

CollaborationProblem-solvingAutomationCommunicationTeamwork

Industry & Role

Industry SaaS
Job Function Data infrastructure engineering and pipeline development

Keywords for Your Resume

Data Infrastructure EngineerPythonSQLData PipelinesAirflowKinesisSnowflakeTableauAWSCloud PlatformsData EngineeringData Quality MonitoringContainerized EnvironmentsData InfrastructureData PlatformData Quality

Deal Breakers

Less than 3 years of experience in data engineering, Lack of experience with Python or SQL, No experience with cloud data platforms, Inability to work with large datasets

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